At CCS, we provide data conversion from Legacy systems to building a complete data warehouse. This can provide your organization with better insight and visibility into your business and thus help you realize the potential growth and benefits. By working with the stakeholders early in the data warehouse-building cycle, we are able to accomplish a phased delivery of goods with short timelines, resulting in good value for your investment.

CCS helps organizations create enterprise data warehouses (EDWH) through our extensive experience and expertise in data architecture modeling, DW design and ETL tool expertise. Our consultants help analyze your data requirements, design your data warehouse architecture and implement the necessary software solutions to meet your specific business needs.

Key competencies and expertise
Our in-depth understanding of business intelligence systems makes us a preferred partner of choice in building comprehensive Data Warehousing systems.
At CCS, our key competency in Data Warehousing lies in our ability to analyze and gather business intelligence and data warehousing requirements. We provide a dimensional model for data warehouse, with Data Mart and Enterprise Data Warehouse design. With sound data migration strategies, implementation techniques as well as data quality testing we are able to build comprehensive Data Warehousing systems.

Core expertise: Our core expertise lies in

	Informatica
	Business Objects
	Oracle, PL/SQ
	Unix/Shell scripts
	SQL Server/Flat files/Sybase
	Data Modeling

With regard to our tools and technology expertise, we provide services in dimensional modeling, meta data management, Data Source Analysis Expertise in SQL Loader, Oracle, Sybase, Flat Files, COBOL Files and Excel Files, ETL Using Informatica, Oracle PL/SQL, SQL Loader, DTS Packages, BI/OLAP Using Business Objects. We also provide services in Data Quality testing using Beyond Compare, DB Diff and utility scripts.

Implementation process:
Our Data Warehousing implementation process includes the following:

	Program Charter
	Project Plan
	Business Architecture
	Analysis Of Business Requirement
	Define Business Goal
	Data Architecture
	Analysis Of Source Data Models
	Dimensional Modelling
	ETL Architecture
	Data Acquisition Process
	Data Transformation Process
	Data Transport and Load Process
	BI/DSS Architecture
	Business Oriented Meta Data
	OLAP/DSS Solution For Enterprise Analytics
	Operations
	Training Business Users
	Data Refresh
	Handling Business Queries